Ensuring Educational Integrity: Reducing Financial Risks with Data Intelligence

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Ensuring Educational Integrity: Reducing Financial Risks with Data Intelligence

B2B Intelligence – BFS Sector Case Study

Problem Statement

Universities often use appealing information to attract students, but misleading content can result in financial difficulties, especially related to student loans. Monitoring such content is crucial for compliance with educational standards, yet maintaining consistency and accuracy while tracking multiple institutions’ claims is a significant challenge.

Our solution

Keyword Monitoring and Analysis: Using XDAS, we implemented an ML-based system to track over 30+ targeted keywords across various websites. By automatically searching for keyword instances, the system flags potentially misleading content, ensuring that only relevant, accurate data is processed and analyzed.
Unstructured Data Extraction: XDAS employs advanced techniques to extract unstructured data from a range of sources, such as forums, articles, and blogs. This allows us to organize and structure the raw data for meaningful insights, supporting informed decision-making for businesses
Content Classification with NLP: XDAS integrates an NLP-based system to classify whether text on monitored sites is misleading or not. This real-time processing classified information with precision, ensuring only verified content is shared with clients.
Ongoing Monitoring and Reports: Links are continuously monitored year-round for any updates or changes. The system rechecks newly added content for misleading information, providing accurate reports that ensure compliance and operational efficiency.
Reporting and Insights Delivery: XDAS presents the insights through a user-friendly interface that allows clients to filter, view, and download actionable reports on any identified misleading content, ensuring transparency and accuracy.

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Benefits

Significant Cost Reduction: XDAS automates data extraction and monitoring, resulting in up to a 70% reduction in operational costs compared to traditional manual methods, allowing businesses to scale efficiently.
Data Accuracy: XDAS platform’s machine learning capabilities and data normalization processes guarantee more than 99% accuracy in data extraction, providing reliable insights that businesses can trust for decision-making.
Enhanced Loan Management: Through accurate and continuous monitoring of online information, Xtract.io’s system helps financial institutions identify potential risks earlier, leading to a 15% reduction in bad loans for its clients.